Using archetypal analysis to derive a typology of knowledge networks in European bioclusters

Milad Abbasiharofteh*, Frans Hermans

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

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    Abstract

    The shift to a bioeconomy necessitates radical innovations to move from a fossil- to a bio-based economy, with bioclusters playing a crucial role by fostering collaboration among a wide range of co-located actors to find solutions. Through a novel methodological approach in regional studies (i.e., archetypal analysis), this study discusses the specificities of bioclusters and analyses the relational properties within European bioclusters’ knowledge networks. Results suggest four archetypal knowledge networks. It is rare to observe the transition of biocluster networks from one archetype group to another. The findings provide a data-driven bioclusters typology, offering insights into designing informed place-based policies.

    Original languageEnglish
    Article number2430354
    Number of pages17
    JournalRegional Studies
    Volume59
    Issue number1
    Early online date2-Jan-2025
    DOIs
    Publication statusPublished - 2025

    Keywords

    • archetypal analysis
    • bioclusters
    • inventive activities
    • knowledge networks
    • unsupervised learning

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